DOI
https://doi.org/10.25772/489N-1Q98
Defense Date
2011
Document Type
Thesis
Degree Name
Master of Science
Department
Mechanical and Nuclear Engineering
First Advisor
Brian Hinderliter
Abstract
Abstract SIMULATION, MEASUREMENT AND IMAGE ANALYSIS OF CORROSION INITIATION AND GROWTH RATE OF ALUMIUM 2024 AND STEEL 304 By Yan Fang, MS A thesis submitted in partial fulfillment of the requirements for the degree of M.S. of Mechanical and Nuclear Engineering at Virginia Commonwealth University. Virginia Commonwealth University, 2011 Major Director: Dr. Brian Hinderliter, Ph. D Associate professor, Mechanical and Nuclear Engineering Time: 11 a.m. Place: Room E3210 Engineering East Hall Date: Friday August 12, 2011 Corrosion initiation and growth rate are important properties in maintaining structural integrity, especially for surface and pit corrosion of common infrastructure and transportation metals. In this study, the surface corrosion pit initiation and growth rate on Aluminum 2024(common aerospace alloy) and Steel 304(common alloy for infrastructure) in different pH solutions was measured and values were analyzed by image analysis over a scheduled time. A MATLAB algorithm was developed for detecting the initiation and growth rate of pits as a function of time. The developed algorithm was validated with simulated specimen as well as experiments conducted corrosion specimen. Based on the result of obtained, the MATLAB algorithm predicts the right trends and power law radial corrosion pit growth rates and should be useful for corrosion initiation and growth predictions in various metals.
Rights
© The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
August 2011